Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method
Hedonic house price models typically impose a constant price structure on housing characteristics throughout an entire market area. However, there is increasing evidence that the marginal prices of many important attributes vary over space, especially within large markets. In this paper, we compare two approaches to examine spatial heterogeneity in housing attribute prices within the Tucson, Arizona housing market: the spatial expansion method and geographically weighted regression (GWR). Our results provide strong evidence that the marginal price of key housing characteristics varies over space. GWR outperforms the spatial expansion method in terms of explanatory power and predictive accuracy.
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Volume (Year): 9 (2007)
Issue (Month): 1 (April)
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References listed on IDEAS
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- William M. Bowen, 2001. "Theoretical and Empirical Considerations Regarding Space in Hedonic Housing Price Model Applications," Growth and Change, Wiley Blackwell, vol. 32(4), pages 466-490.
- Timothy J. Fik & David C. Ling & Gordon F. Mulligan, 2003. "Modeling Spatial Variation in Housing Prices: A Variable Interaction Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(4), pages 623-646, December.
- Quigley, John M., 1985. "Consumer choice of dwelling, neighborhood and public services," Regional Science and Urban Economics, Elsevier, vol. 15(1), pages 41-63, February.
- Bourassa, Steven C. & Hoesli, Martin & Peng, Vincent S., 2003.
"Do housing submarkets really matter?,"
Journal of Housing Economics,
Elsevier, vol. 12(1), pages 12-28, March.
- Schnare, Ann B. & Struyk, Raymond J., 1976. "Segmentation in urban housing markets," Journal of Urban Economics, Elsevier, vol. 3(2), pages 146-166, April.
- Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
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